The full answer
Mobile AI features can run in the cloud, on the device, or as a mix of both. Cloud models offer the most capability, while on-device models respond instantly, work offline and keep some data on the phone. Creuto chooses based on the feature, privacy needs and the devices your users have.
Good mobile AI respects the constraints of a phone: limited screen space, variable connectivity and battery life. Responses are streamed so users see progress quickly, requests are kept lean, and the app degrades gracefully when the network is poor.
The camera and microphone open up useful features, such as scanning documents, recognising products, capturing notes by voice or analysing photos for field inspections. These are built with clear permission requests and careful handling of what is uploaded.
AI mobile apps can be built natively in Swift and Kotlin or cross-platform with Flutter or React Native, sharing a backend that handles model calls, logging and access control.
As with all AI work, Creuto measures quality with real examples before launch and monitors usage afterwards.